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Generate a 3D model from an image
TRELLIS

TRELLIS

Generate 3D models from images

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What is TRELLIS ?

TRELLIS is an innovative AI-powered tool designed to generate 3D models from images. It leverages advanced computer vision and machine learning algorithms to create accurate and detailed three-dimensional representations from two-dimensional input. Whether you're working on creative projects, prototyping, or enhancing visual media, TRELLIS simplifies the process of transforming flat images into lifelike 3D models.

Features

• Image-to-3D Conversion: Seamlessly convert 2D images into 3D models with high precision.
• Multi-Image Support: Combine multiple images to improve model accuracy and detail.
• Customizable Outputs: Adjust settings like resolution, texture, and complexity to suit your needs.
• User-Friendly Interface: Designed for both beginners and professionals, with intuitive controls.
• Cross-Compatibility: Export models in formats compatible with popular 3D modeling and rendering software.

How to use TRELLIS ?

  1. Upload an Image: Start by uploading a 2D image to TRELLIS. You can use a single image or multiple views for better results.
  2. Adjust Settings: Customize the output by tweaking parameters like resolution, texture mapping, and complexity.
  3. Generate Model: Click the "Generate" button to start the AI-powered 3D modeling process.
  4. Review and Refine: Preview the generated model and make adjustments if needed.
  5. Download or Export: Save the 3D model in your preferred format or export it directly to 3D software.

Frequently Asked Questions

What types of images work best with TRELLIS?
Images with clear, well-defined subjects and good lighting produce the best results. Avoid blurry or overly complex scenes for optimal accuracy.

Can I use TRELLIS for commercial projects?
Yes, TRELLIS-generated models can be used for both personal and commercial projects. However, ensure you have the rights to the input images used.

How long does the 3D generation process typically take?
Processing time depends on the image quality, model complexity, and your system's performance. Typically, it ranges from a few seconds to a couple of minutes.

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